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JuliaAI
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MLJTuning.jl
Hyperparameter optimization algorithms for use in the MLJ machine learning framework
MIT License
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Update codecov.
#224
ablaom
closed
1 month ago
0
Update codecov action to @v4; try to use org secret token
#223
ablaom
closed
1 month ago
1
For a 0.8.8 release
#222
ablaom
closed
1 month ago
1
Make the global `default_logger()` the default `logger` in `TunedModel(logger=...)`
#221
ablaom
closed
1 month ago
1
For a 0.8.7 release
#220
ablaom
closed
3 months ago
1
Overload `constructor` trait for `TunedModel` types
#219
ablaom
closed
3 months ago
1
For a 0.8.6 release
#218
ablaom
closed
3 months ago
1
Broken link (404) for each dependent link of the site https://alan-turing-institute.github.io
#217
caesquerre
closed
4 months ago
2
For a 0.8.5 release
#216
ablaom
closed
4 months ago
1
Create option to write `CompactPerformanceEvaluation` objects to history
#215
ablaom
closed
4 months ago
4
For a 0.8.4 release
#214
ablaom
closed
5 months ago
1
add feature importances support for tuned models
#213
OkonSamuel
closed
5 months ago
1
For a 0.8.3 release
#212
ablaom
closed
5 months ago
1
Remove redundant keys in history entries
#211
ablaom
opened
5 months ago
0
Add entire evaluation objects to history
#210
ablaom
closed
5 months ago
1
For a 0.8.2 release
#209
ablaom
closed
6 months ago
1
Overload `save` and `restore`
#208
ablaom
closed
6 months ago
2
Overload `save`/`restore` to fix serialisation when atomic model has ephemeral fitresult
#207
ablaom
closed
6 months ago
0
Implement transform?
#206
ablaom
opened
6 months ago
0
Add `history_additions` to resolve #202 at least for grid searches
#205
dpaetzel
closed
5 months ago
9
For a 0.8.1 release
#204
ablaom
closed
7 months ago
1
Fix how measures are displayed on plot axes
#203
ablaom
closed
7 months ago
1
Use measures that are not of the form `f(y, yhat)` but `f(fitresult)`
#202
dpaetzel
closed
2 months ago
7
Add prediction type check for Explicit strategy
#201
ablaom
closed
7 months ago
2
Add checks in the case of the `Explicit` strategy that all models have the same type of prediction
#200
ablaom
closed
7 months ago
0
Avoid model introspection by requiring users to provide a function that defines a model instance
#199
CameronBieganek
opened
10 months ago
3
Allow Tuples of ranges
#198
ParadaCarleton
opened
10 months ago
1
add compat for julia
#196
ablaom
closed
11 months ago
1
For a 0.8 release
#195
ablaom
closed
11 months ago
1
Update code and tests to address migration of measures MLJBase -> StatisticalMeasures
#194
ablaom
closed
11 months ago
1
Adding loggers into TunedModels
#193
pebeto
closed
3 months ago
11
Support Optimization.jl Interface?
#192
ParadaCarleton
opened
1 year ago
1
Fix some tests that use deprecated MLJBase code
#191
ablaom
closed
1 year ago
1
Get rid of test/Project.toml
#190
ablaom
closed
1 year ago
1
Skipping parts of search space?
#189
MilesCranmer
closed
1 year ago
4
Typo in error message for `TunedModel` missing arguments
#188
ablaom
closed
11 months ago
0
For a 0.7.4 release
#187
ablaom
closed
1 year ago
1
Extend compat for MLJBase to include 0.21
#186
ablaom
closed
1 year ago
0
Tweak a test
#185
ablaom
closed
1 year ago
1
Improper loss functions silently accepted in training a `TunedModel`
#184
ablaom
closed
11 months ago
1
Fix multi-target MLJFlux example
#183
mohamed82008
closed
2 years ago
4
For a 0.7.3 release
#182
ablaom
closed
2 years ago
1
Clean up tests and code to avoid private access of machine.report
#181
ablaom
closed
2 years ago
0
For a 0.7.2 release
#180
ablaom
closed
2 years ago
1
Update README.md
#179
pitmonticone
closed
2 years ago
2
Clarify error for uninstantiated model further
#178
rikhuijzer
closed
2 years ago
6
Add link to usage examples
#177
rikhuijzer
closed
2 years ago
2
For a 0.7.1 release
#176
ablaom
closed
2 years ago
1
Allow user to specify model in `TunedModel` as arg instead of kwarg
#175
ablaom
closed
2 years ago
1
Allow hyper-parameter tuning for immutable models.
#174
ablaom
opened
2 years ago
0
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